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Sql analyst • toronto on
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Sr. AWS Data Engineer, Infrastructure With Strong SQL
Atlantis IT groupToronto, ON, CanadaSQL Server DBA - Remote
NTT DATA ServicesToronto, ON, CASoftware Engineer (Python/PL-SQL)
ScotiabankToronto, ON, CASQL Developer / Data Engineer - Contract, 4 Months - Toronto, Hybrid
CorGTAToronto Division, Ontario, CanadaDeductions Analyst
Randstad CanadaNorth York, Ontario, CAsystems analyst
Improving Toronto IncEtobicoke, ON, CAData Analyst
eTeamToronto, ONdatabase analyst
Sodales Solutions IncToronto, ON, CADatabase MS SQL Server
J M Group IncToronto, ON, CanadaBusiness Analyst
Hydro One Networks IncToronto, ON, CAProcurement Analyst
BMO Financial GroupToronto, Ontario CanadaSQL Server DBA - Remote
NTTToronto, Canadacybersecurity analyst
Alithya Services Conseils Inc.Toronto, ON, CACPFR Analyst
UnileverToronto, ONData Analyst – SQL, Data Pipelines & AI
Recrute ActionToronto, ON, caBusiness Analyst – Finance, SQL
Astra North Infoteck Inc.Toronto, ON, caData Pipeline Engineer – SQL Specialist
MercorToronto, Ontario, CanadaInvestment Analyst
WTWToronto, ON, CanadaActuarial Analyst
Northbridge Financial CorporationToronto, ON- Edmonton, AB (from $ 85,625 to $ 165,579 year)
- Toronto, ON (from $ 76,238 to $ 151,195 year)
- Winnipeg, MB (from $ 120,000 to $ 150,928 year)
- Montreal, QC (from $ 91,650 to $ 150,000 year)
- Old toronto, ON (from $ 78,012 to $ 147,474 year)
- Mississauga, ON (from $ 83,625 to $ 145,885 year)
- La Prairie, QC (from $ 131,376 to $ 138,543 year)
- Calgary, AB (from $ 81,900 to $ 137,743 year)
- Vancouver, BC (from $ 74,412 to $ 137,689 year)
- Waterloo, ON (from $ 92,762 to $ 134,693 year)
Sr. AWS Data Engineer, Infrastructure With Strong SQL
Atlantis IT groupToronto, ON, Canada- Full-time
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Client JD
Role: Sr. AWS Data Engineer, Infrastructure With Strong SQL
Location: Toronto
Client: Banking Labs/BMO
1yr contract
Hybrid
Job Summary:
Managing cloud infrastructure, Automation and DevOps, Security & Compliance, and Monitoring/Troubleshooting.
We are seeking a highly skilled Data Engineer with deep expertise in SQL (including stored procedures) and AWS-based data engineering solutions. You will be responsible for designing, building, and optimizing scalable data pipelines and systems that enable analytics, reporting, and data-driven decision-making across the organization.
Key Responsibilities Develop and optimize complex SQL queries and stored procedures for high-performance data processing and transformation.
Build and maintain scalable ETL/ELT pipelines on AWS using services such as Glue, Lambda, S3, Athena, Redshift, Kafka, Airflow, and Step Functions.
Implement and maintain data integration solutions from various data sources into a centralized data lake or data warehouse.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver reliable solutions.
Monitor and troubleshoot data pipelines to ensure data accuracy, timeliness, and reliability.
Apply data governance and security best practices in all development work.
Skills Required Expert-level proficiency in SQL, including performance tuning, writing complex joins, and stored procedures in databases.
Experience with AWS Data Engineering tools
AWS Glue
Amazon Redshift
AWS Lambda
Amazon S3
Athena
Kafka
Step Functions
Experience with data modeling, ETL orchestration, and data pipeline development in AWS.
Familiarity with version control systems (e.g., Git) and CI/CD for data workflows.
Airflow
Experience with Python and PySpark